
Explore the fundamentals of Python, from history and features to variables, conditionals, loops, strings, lists, and dictionaries, with hands-on practice and your first Python program.
Trace the history of Python from its 1991 release named after Monty Python's Flying Circus, note its procedural and object-oriented programming, and its abc language influence and free availability.
Explore why Python is popular, including its easy, compact syntax, object-oriented design, high-level expressiveness, and cross-platform, free and open-source nature, with diverse uses from web apps to databases.
Explore the limitations of Python, including slower execution as an interpreted language, a smaller library ecosystem versus C or Java, and weak type binding that can cause data type errors.
Learn how Python uses variables as memory locations to store integers, floats, and strings, and how the equals sign enables simple and multiple assignments.
Explore Python basics by examining characters, tokens, keywords, and identifiers. Learn valid naming rules, including letters, digits, underscores, case sensitivity, and reserved words.
Learn your first Python program by writing a hello world print statement in a .py file, run it with the run button, and explore printing strings, numbers, comments, and arithmetic.
Learn to write basic Python operations by using variables, the assignment operator, and user input to compute sums and differences, then print results including integers and floats.
Input three integers from the user, compute their sum, and divide by three to obtain the average. Print the floating result to show the mean for three numbers in Python.
Learn how conditional statements drive decisions in Python, using if, if else, and if elif with proper indentation to execute code when conditions are met.
Learn how to implement if statements in Python to check if a number is positive and even using the modulo operator. Explore input, indentation, and the equals vs assignment concept.
Explore the if-else statement in Python by implementing checks for positive numbers, non-positives, and even numbers using comparison operators and the modulo operator.
Implement if-elif-else logic in Python to classify a number as positive, negative, or zero, then check divisibility by two, three, or five with the modulus operator.
Solve assignment two by implementing conditional logic to find greatest of four distinct numbers and assess pass criteria for three subjects with 30 percent per subject and 40 percent total.
Explore loops in Python to repeat statements automatically, such as printing numbers from one to two thousand, and learn about while and for loops.
Learn how while loops evaluate a condition and repeat the body until it becomes false, and how for loops iterate over sequences with range, lists, and iterative variables.
Explore for loop implementation in Python by building a multiplication table with range and formatted output, then compute the sum of first n natural numbers with an accumulator.
Learn while loop implementation in Python by building a multiplication table without range, using a counter variable and manual increment, then apply the same pattern to sum calculations.
Demonstrates two methods to sum the first even numbers using range-based and while loops, checks evenness with modulo, and confirms the result is 30 for the example.
Investigate how nested for loops place one loop inside another to multiply iterations, using i and j ranges, and observe results printed and lists processed.
Learn how Python strings are a sequence of characters enclosed in quotes. Master slicing with start, end, and optional step using positive and negative indices.
Explore string operators by using plus for concatenation and star for repetition. Learn how to join strings and repeat a string, and note that star cannot multiply two strings.
Learn how membership and comparison operators work in Python, using in and not in with strings, case sensitivity, ASCII values, and examples with Python and Java.
Explore essential Python string functions such as len, endswith, capitalize, count, find, replace, title, upper, and lower to manipulate and analyze text.
Explore string functions in Python, including the index function to locate substrings, and checks for alphanumeric, lower, space, alpha, and digit strings, with practical examples.
Count uppercase and lowercase letters in a string by iterating characters and updating two counters with isupper and islower. Check palindromes by reversing with slicing and comparing to the original.
Learn to extract even-index characters from a string in Python by iterating over indices with range, building a new string, and printing the result.
Practice implementing a Python program that reads a string, identifies its first character, and replaces all occurrences of that character with a new symbol using the replace function.
Explore lists in Python: learn how a list is a mutable container that can store multiple data types, including integers, floats, and strings, using square brackets.
Create lists with syntax for empty and non-empty values, including strings, long lists, and nested lists. Use zero-based indexing to access elements, including values inside inner lists via nested indices.
Learn how to create a list from existing sequences in Python using the list function, converting strings and tuples into lists with each character as an element.
Learn how to access list elements by index, using forward indexing from zero to length minus one and negative indexing from minus one to minus length, with fruits as examples.
Discover the difference between strings and lists in Python, noting strings are immutable while lists are mutable, and learn how to update a list by index.
Learn to find the minimum element and its index in a list, then search for a specified element using Python, with inputs handled by the eval function.
Learn to compute the sum of numbers in a list and add five to odd values, then to even values, with type checks and range-based iteration.
Explore tuples as an ordered, immutable collection in Python, learn indexing and slicing, including negative indexes, and compare with lists.
Learn how to change immutable tuples by converting them to a list, updating elements (banana to kiwi), and converting back to a tuple using the tuple function.
Learn to loop through a tuple with a for loop and access each element directly. Check item existence with in and compare lengths using len for simple conditions.
Learn how to create a one-item tuple with a trailing comma, why parentheses alone don't form a tuple, and how to join two tuples using the plus operator to concatenate.
Learn how the tuple constructor converts sequences into tuples, including converting a list, and how to use built-in tuple methods count and index to count occurrences and locate positions.
Count how many times a user-specified value appears in a list and replace list elements with a new value, using Python concepts like count, slicing, and iteration.
Demonstrates replacing the first four elements of a list with a couple in a single statement and computing the product of a list with a for loop, with debugging notes.
Explore Python dictionaries, learn how key-value pairs replace list indexing, understand lack of inherent order, and search values efficiently by keys.
Learn to create a dictionary in Python using curly braces with key: value pairs and an empty dictionary. Keys must be immutable and unique; values can repeat.
Learn to access dictionary elements using keys, traverse dictionaries with for key in, and retrieve keys and values with dict.keys() and dict.values(), including converting results to lists.
Learn how dictionaries are unordered and indexed by unique keys, with mutable values, and how to add, update, or delete key-value pairs.
Learn Python dictionary methods including copy for shallow copies, clear, pop, and keys, values, items, update, and len to manage and inspect dictionaries.
Learn to concatenate dictionaries to form a new dictionary and sum all items by iterating over values, using update and value access methods in Python.
Explore calculating max and min values from a dictionary by collecting values into a list and applying max and min, then remove a key with a presence check and delete.
Learn three steps of file handling in Python: open a file, read or write data, and close the file to store data permanently, and explore file modes for future use.
Open a file in Python by creating a file object and using the open keyword, noting that the default mode is read and that paths may be absolute or relative.
Explore Python file access modes, including read, write, append, and read-write, and learn how each mode handles creation, existing files, and data truncation.
Master reading from text files in Python by using read to fetch characters, readline to read line by line, and readlines to return all lines as a list.
Learn to write data to files in Python using write and writelines. Understand when to use write versus append mode, how newlines and closing the file ensure data is saved.
Learn to remove unwanted spaces and newlines using strip, lstrip, and rstrip while reading lines from a file, and use the with statement to auto-close files in Python.
This course has been specifically designed for beginners who have been looking to obtain a hands-on learning experience with Python, teaching you concepts of programming right from the basics and Python being the most simplest language for a beginner to start with.
It is the right time to start learning the in-demand Python language because of its gaining popularity in the fields on Data Science, Backend Development, Internet of Things, etc. Keep yourself equipped with the most sought-after skills!
A lot of exercise problems, programming lectures, PDF notes have been included to provide you with a great learning experience!
You will work on a project at the end of this course, which has been designed for you to implement all the topics which you would have mastered by the end of this course to give you enough confidence to start writing your own independent programs in Python.
You will be learning the basics of python in this course.
Python is one of the fastest growing language
Python is interpreted, object oriented, high level, procedure oriented language
It has different versions
The reason behind it is there are huge number of libraries available in the market, many companies and developers are using it and it can be implemented in many areas.
It is general Purpose language as it can be used in Machine learning, GUI, Software Development, Web development and many more.
Google, YouTube, Dropbox, NASA, Yahoo use python.
If you want to learn how to write Python programs like a pro, code python like a boss, solve real-world problems, or automate repetitive and complex tasks, read on.
By the end of this course you will be able to create Python scripts with ease. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life.
Here is what you will get and learn by taking this Python Programming course:
Introduction of Python
History of Python
Features that make Python so Popular
Limitations of Python
Variables
Data Types
Character Sets
Tokens
Keywords
Identifiers
First Python Program
Basic Operations
Conditional Statements
Loops
String
List
Tuple
Dictionary
file Handling
First game